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Data Architect - IDP

Aspire Inc.
Dallas, TX, United States
12 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Agile Methodology Artificial Intelligence Microsoft Azure Data Architecture Data Dictionary Data Governance Data Infrastructure Data Vault Modeling Python (Programming Language) Salesforce.Com SQL Databases Snowflake
+4 more
Togaf SAP S/4HANA Data Management Databricks

Requirements

  • 13+ years in Data Architecture & Modeling; 8+ years building enterprise cloud data platforms.
  • Expert in Conceptual/Logical/Physical, Dimensional (Star/Snowflake), and Data Vault 2.0 modeling.
  • Strong hands-on experience with Azure Databricks, Unity Catalog, Snowflake, SQL, and Python.
  • Experience building distribution/healthcare data products and data marketplaces.
  • Strong knowledge of data governance, lineage, and data quality frameworks.
  • Agile/POD delivery experience.

Key Deliverables:

  • Enterprise IDP data modeling framework and domain models.
  • Canonical data dictionary and business glossary.
  • Reusable data product standards.
  • Source-to-target mapping repository.

Nice to Have:

  • Pharma/Healthcare distribution experience.
  • SAP S/4HANA, Salesforce, and ERP ecosystem knowledge.
  • AI-ready data foundation experience.
  • Databricks, Azure, DAMA CDMP, or TOGAF certifications.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

1:42 min

System architecture for ingesting and processing enterprise data

Sandeep Kusuma Sandeep Kusuma · World Congress 2026 Europe

2:50 min

Executing LoRA fine-tuning using serverless Databricks AI runtimes

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

Videos

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Blueprints for Success: Steering a Global Data & AI Architecture thumbnail
19:44
World Congress 2025 • about 1 year ago

Blueprints for Success: Steering a Global Data & AI Architecture

Dominik Schneider

How Cisco embraced a DevOps culture within its network engineering team thumbnail
39:38
LIVE • over 5 years ago

How Cisco embraced a DevOps culture within its network engineering team

Stuart Clark

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source thumbnail
29:50
World Congress 2026 Europe • about 2 months ago

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source

Viktoria Semaan

From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • about 2 months ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG thumbnail
7:02
Europe 2026 Virtual • 2 months ago

Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG

Piotr Menclewicz

OLTP in the Lakehouse: Redefining Data for AI Workloads thumbnail
24:36
Europe 2026 Virtual • 2 months ago

OLTP in the Lakehouse: Redefining Data for AI Workloads

Oleksandra Bovkun

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